Search Results - Improved convolutional sparse coding

Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group by Han, Changkun, Lu, Wei, Wang, Huaqing, Song, Liuyang, Cui, Lingli

“…[Display omitted] •A multistate fault diagnosis model for bearings based on PPFG/ICSC is proposed.•The construction and parameter selection method of PPFG is…”
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Noncontact Heart Rate Measurement Based on an Improved Convolutional Sparse Coding Method Using IR-UWB Radar by Wang, Pengfei, Qi, Fugui, Liu, Miao, Liang, Fulai, Xue, Huijun, Zhang, Yang, Lv, Hao, Wang, Jianqi

“… In this study, convolutional sparse coding, which is an unsupervised machine learning algorithm, was first used to model…”
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An Improved Multilayer Convolutional Sparse Coding Model for Fault Feature Extraction of Rolling Element Bearings Under Varying Speed Conditions by Dong, Guangming

“… This article proposes an improved multilayer convolutional sparse coding (ML-CSC) model incorporating an overlap-crop (OC…”
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An improved theoretical analysis of convolutional sparse coding using stripe coherence by Li, Haifeng, Chen, Wengu

“…Convolutional sparse coding has proven to be very effective in a wide range of applications…”
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Improved multi-focus image fusion using online convolutional sparse coding based on sample-dependent dictionary by He, Sidi, Zhang, Chengfang, Li, Haoyue, Feng, Ziliang

“… Convolutional sparse coding (CSC) methods are commonly employed for accurate extraction of focused regions, but they often disregard computational costs…”
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Convolutional Sparse Coding Using Pathfinder Algorithm-Optimized Orthogonal Matching Pursuit With Asymmetric Gaussian Chirplet Model in Bearing Fault Detection by Zhou, Qiuyang, Zhang, Yuhui, Yi, Cai, Lin, Jianhui, He, Liu, Hu, Qiwei

“… In order to accurately detect the fault impulse in the original signal, a convolutional sparse coding using pathfinder algorithm-optimized orthogonal matching pursuit with asymmetric Gaussian chirplet model (CSC-OAGCM…”
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A method of reconstructing compressive spectral imaging with a complementary prior constraint by Wang, Pan, Li, Jie, Qi, Chun, Wang, Lin, Wang, Feng ping

“…Compressed spectral imaging (CSI) is a technique for acquiring a cube of spectral image data in a single snapshot. In this paper, we propose a reconstruction…”
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Image De-Raining Via RDL: When Reweighted Convolutional Sparse Coding Meets Deep Learning by He, Jingwei, Yu, Lei, Yang, Wen

“… However, few studies combine the merits of both. In this paper, we argue that domain expertise of conventional convolutional sparse coding (CSC…”
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Ultrasonic array imaging of porosity defects with contrast enhancement based on dominant response subtraction by Bai, Long, Guo, Changrong, Ye, Tao, Xu, Jianfeng

“…”, which is caused by the masking effects of the uppermost pores. The proposed approach first extracts contributions of the uppermost pores based on a single scattering model by adopting convolutional sparse coding…”
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Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning by Sulam, Jeremias, Papyan, Vardan, Romano, Yaniv, Elad, Michael

“…The recently proposed multilayer convolutional sparse coding (ML-CSC) model, consisting of a cascade of convolutional sparse layers, provides a new interpretation of convolutional neural networks (CNNs…”
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Imaging in scattering media using correlation image sensors and sparse convolutional coding by Heide, Felix, Xiao, Lei, Kolb, Andreas, Hullin, Matthias B., Heidrich, Wolfgang

“… for imaging through scattering and turbid media. The key of our method is a new convolutional sparse coding approach for recovering transient (light-in-flight…”
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CSID: A Novel Multimodal Image Fusion Algorithm for Enhanced Clinical Diagnosis by Muzammil, Shah Rukh, Maqsood, Sarmad, Haider, Shahab, Damaševičius, Robertas

“… distortion due to inadequate contrast. To resolve these issues, this paper proposes a novel algorithm, namely Convolutional Sparse Image Decomposition (CSID…”
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Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding by Huang, Yawen, Shao, Ling, Frangi, Alejandro F.

“… We propose the weakly-supervised joint convolutional sparse coding to simultaneously solve the problems of super-resolution (SR…”
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Feature Extraction and Classification of Cataluminescence Images Based on Sparse Coding Convolutional Neural Networks by Shi, Guolong, He, Yigang, Zhang, Chaolong

“…) in the detection of harmful gases, this article proposed a feature extraction and classification algorithm for CTL images based on sparse coding convolutional neural networks (SCNN…”
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Noise Attenuation for CSEM Data via Deep Residual Denoising Convolutional Neural Network and Shift-Invariant Sparse Coding by Wang, Xin, Bai, Ximin, Li, Guang, Sun, Liwei, Ye, Hailong, Tong, Tao

“…), we improved the deep learning algorithm by combining the denoising convolutional neural network (DnCNN…”
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Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution by Kumar, Kriti, Majumdar, Angshul, Kumar, A. Anil, Chandra, M. Girish

“… in data-limited scenarios. The proposed work presents a convolutional analysis sparse coding-based method, employing convolutional transforms that eliminate the need for learning the decoder…”
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Retinex Based Image Enhancement via General Dictionary Convolutional Sparse Coding by Yoon, Jongsu, Choe, Yoonsik

“… To realize this, we use the convolutional sparse coding model to represent the reflectance component in detail…”
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Image Denoising of Fishing Nets Underwater with Range Selection Based on Convolutional Sparse Coding by Wu, Sheng, Liu, Chao, Zhang, Honglei, Duan, Enyue, Jiang, Nian

“… In order to solve this problem, this paper proposes a convolutional sparse coding denoising neural network based on deep learning to improve image quality…”
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Joint self-supervised and reference-guided learning for depth inpainting by Wu, Heng, Fu, Kui, Zhao, Yifan, Song, Haokun, Li, Jia

“… For the self-supervised learning strategy, we introduce an improved spatial convolutional sparse coding module in which total variation regularization is employed to enhance the structural…”
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Hybrid quantum sparse coding and dynamic convolution capsule network for enhanced image classification by Shu, Zhong

“… To address these, this paper introduces a Hybrid Quantum Sparse Coding with Dynamic Convolution Capsule Network (HQSC-DCCN…”
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